Leonardo Chang
Impact in
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- Face recognition and analysis
- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Advanced Neural Network Applications
- Signal Processing top 5%
- Biometric Identification and Security
Papers in
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- Face recognition and analysis 10
- Face and Expression Recognition 9
- Advanced Image and Video Retrieval Techniques 5
- Human Pose and Action Recognition 4
- Video Surveillance and Tracking Methods 3
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- Biometric Identification and Security 8
- Co-authors
- Miguel González-Mendoza (13 shared papers)Heydi Méndez-Vázquez (8 shared papers)Luis Enrique Sucar (7 shared papers)Sharib Ali (3 shared papers)Gilberto Ochoa‐Ruiz (4 shared papers)Miguel Arias-Estrada (2 shared papers)Eduardo F. Morales (1 shared paper)Marta Gomez‐Barrero (2 shared papers)
- Journals
- IEEE Access (2 papers)Pattern Analysis and Applications (2 papers)Applied Sciences (1 paper)Medical Image Analysis (1 paper)Machine Vision and Applications (1 paper)
- Partner nations
- MexicoCubaUnited Kingdom
In The Last Decade
Leonardo Chang
25 papers receiving 307 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 231
- Signal Processing 109
- Artificial Intelligence 52
- Media Technology 13
- Human-Computer Interaction 6
Countries citing papers authored by Leonardo Chang
This map shows the geographic impact of Leonardo Chang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Leonardo Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonardo Chang more than expected).
Fields of papers citing papers by Leonardo Chang
This network shows the impact of papers produced by Leonardo Chang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Leonardo Chang. The network helps show where Leonardo Chang may publish in the future.
Co-authors
The 13 scholars most cited alongside Leonardo Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2021 | 39 | |
| 3 | 2022 | 29 | |
| 4 | 2011 | 23 | |
| 5 | 2012 | 22 | |
| 6 | 2021 | 18 | |
| 7 | 2018 | 17 | |
| 8 | 2021 | 15 | |
| 9 | 2021 | 14 | |
| 10 | 2018 | 12 | |
| 11 | 2021 | 10 | |
| 12 | 2021 | 10 | |
| 13 | 2019 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2020 | 6 | |
| 16 | 2019 | 5 | |
| 17 | 2016 | 5 | |
| 18 | 2019 | 3 | |
| 19 | 2021 | 2 | |
| 20 | 2024 | 2 |
About Leonardo Chang
Leonardo Chang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Surgery and Media Technology, having authored 27 papers that have together received 311 indexed citations. Recurring topics across this work include Face recognition and analysis (10 papers), Face and Expression Recognition (9 papers), Biometric Identification and Security (8 papers), Anomaly Detection Techniques and Applications (5 papers), Advanced Image and Video Retrieval Techniques (5 papers), Human Pose and Action Recognition (4 papers), Surgical Simulation and Training (3 papers) and Video Surveillance and Tracking Methods (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (231 citations), Signal Processing (109 citations), Artificial Intelligence (52 citations), Media Technology (13 citations) and Human-Computer Interaction (6 citations). Leonardo Chang has collaborated with scholars based in Mexico, Cuba and United Kingdom. Frequent co-authors include Miguel González-Mendoza, Heydi Méndez-Vázquez, Luis Enrique Sucar, Sharib Ali, Gilberto Ochoa‐Ruiz, Miguel Arias-Estrada, Eduardo F. Morales, Marta Gomez‐Barrero, Christoph Busch and R. Biscay. Their work appears in journals such as IEEE Access, Pattern Analysis and Applications, Applied Sciences, Medical Image Analysis and Machine Vision and Applications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.